Literature DB >> 23425734

Changes in the epidemiology and prediction of multiple-organ failure after injury.

David C Dewar1, Seth M Tarrant, Kate L King, Zsolt J Balogh.   

Abstract

BACKGROUND: The epidemiology of multiple-organ failure (MOF) after injury has been changing, questioning the validity of previously described prediction models. This study aimed to describe the current epidemiology of MOF. The secondary aim was development of a prediction model that could be used for early identification of patients at risk of MOF.
METHODS: A 60-month prospective epidemiologic study was undertaken at an Australian Level I trauma center. Data were collected on trauma patients that met inclusion criteria (intensive care unit [ICU] admission; Injury Severity Score [ISS] > 15; age > 18 years, head Abbreviated Injury Scale [AIS] score < 3; and survival for >48 hours). Demographics, injury severity (ISS), physiologic parameters, MOF status based on the Denver score, and outcome data were prospectively collected. Univariate analysis and multivariate logistic modeling were performed; p < 0.05 was considered significant. Data are presented as percentage or mean (SD).
RESULTS: A total of 140 patients met the inclusion criteria (age, 47 [21] years; ISS, 30 [11]; male, 69%), 21 patients (15%) developed MOF, and MOF associated mortality was 24% versus non-MOF mortality rate of 3%. Patients who developed MOF had longer ICU stays (19 [7] vs. 7 [5], p < 0.01) and had more ventilator days (18 [9] vs. 4 [4], p < 0.01). Prediction models were generated at two time points as follows: admission and 24 hours after injury. At admission, age (>65 years) and admission platelet count (<150 × 10(9)/L) were significant predictors of MOF; at 24 hours after injury, MOF was predicted by age more than 65 years, admission platelet count less than 150 × 10(9)/L, maximum creatinine of greater than 150 × 10(9)/L and minimum bilirubin of greater than 10 × 10(9)/L. Shock parameters and injury severity did not predict MOF.
CONCLUSION: The incidence of MOF (15%) is lower than reported 15 years ago; MOF remains a major cause of ICU resource use and late mortality after injury. The independent predictors of MOF have fundamentally changed, likely owing to improvements in resuscitation and critical care. Current predictors are universally available at admission and 24 hours. LEVEL OF EVIDENCE: Epidemiologic/prognostic study, level III.

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Year:  2013        PMID: 23425734     DOI: 10.1097/TA.0b013e31827a6e69

Source DB:  PubMed          Journal:  J Trauma Acute Care Surg        ISSN: 2163-0755            Impact factor:   3.313


  31 in total

1.  Age-Dependent Changes in AMPK Metabolic Pathways in the Lung in a Mouse Model of Hemorrhagic Shock.

Authors:  Lindsey R Klingbeil; Paul Kim; Giovanna Piraino; Michael O'Connor; Paul W Hake; Vivian Wolfe; Basilia Zingarelli
Journal:  Am J Respir Cell Mol Biol       Date:  2017-05       Impact factor: 6.914

Review 2.  The research agenda for trauma critical care.

Authors:  Karim Asehnoune; Zsolt Balogh; Giuseppe Citerio; Andre Cap; Timothy Billiar; Nino Stocchetti; Mitchell J Cohen; Paolo Pelosi; Nicola Curry; Christine Gaarder; Russell Gruen; John Holcomb; Beverley J Hunt; Nicole P Juffermans; Mark Maegele; Mark Midwinter; Frederick A Moore; Michael O'Dwyer; Jean-François Pittet; Herbert Schöchl; Martin Schreiber; Philip C Spinella; Simon Stanworth; Robert Winfield; Karim Brohi
Journal:  Intensive Care Med       Date:  2017-07-29       Impact factor: 17.440

3.  Assessment of traumatic deaths in a level one trauma center in Ankara, Turkey.

Authors:  E D Arslan; E Kaya; M Sonmez; C Kavalci; A Solakoglu; F Yilmaz; T Durdu; E Karakilic
Journal:  Eur J Trauma Emerg Surg       Date:  2014-08-02       Impact factor: 3.693

Review 4.  Postinjury Inflammation and Organ Dysfunction.

Authors:  Angela Sauaia; Frederick A Moore; Ernest E Moore
Journal:  Crit Care Clin       Date:  2017-01       Impact factor: 3.598

5.  Increased mortality in adult patients with trauma transfused with blood components compared with whole blood.

Authors:  Allison R Jones; Susan K Frazier
Journal:  J Trauma Nurs       Date:  2014 Jan-Feb       Impact factor: 1.010

Review 6.  Persistent inflammation, immunosuppression, and catabolism and the development of chronic critical illness after surgery.

Authors:  Philip A Efron; Alicia M Mohr; Azra Bihorac; Hiroyuki Horiguchi; McKenzie K Hollen; Mark S Segal; Henry V Baker; Christiaan Leeuwenburgh; Lyle L Moldawer; Frederick A Moore; Scott C Brakenridge
Journal:  Surgery       Date:  2018-05-26       Impact factor: 3.982

7.  Damage- and pathogen-associated molecular patterns play differential roles in late mortality after critical illness.

Authors:  John Eppensteiner; Jean Kwun; Uwe Scheuermann; Andrew Barbas; Alexander T Limkakeng; Maggie Kuchibhatla; Eric A Elster; Allan D Kirk; Jaewoo Lee
Journal:  JCI Insight       Date:  2019-08-22

8.  Temporal trends of postinjury multiple-organ failure: still resource intensive, morbid, and lethal.

Authors:  Angela Sauaia; Ernest E Moore; Jeffrey L Johnson; Theresa L Chin; Anirban Banerjee; Jason L Sperry; Ronald V Maier; C Cothren Burlew
Journal:  J Trauma Acute Care Surg       Date:  2014-03       Impact factor: 3.313

9.  Validation of the Denver Emergency Department Trauma Organ Failure Score to Predict Post-Injury Multiple Organ Failure.

Authors:  Jody A Vogel; Craig D Newgard; James F Holmes; Deborah B Diercks; Ann M Arens; Dowin H Boatright; Antonio Bueso; Samuel D Gaona; Kaitlin Z Gee; Anna Nelson; Jeremy J Voros; Ernest E Moore; Christopher B Colwell; Jason S Haukoos
Journal:  J Am Coll Surg       Date:  2015-10-24       Impact factor: 6.113

10.  The effect of evolving trauma care on the development of multiple organ dysfunction syndrome.

Authors:  K J P van Wessem; L P H Leenen
Journal:  Eur J Trauma Emerg Surg       Date:  2014-03-16       Impact factor: 3.693

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